Abstract
The concept of vulnerability is multifaceted, encompassing a range of socio-economic, environmental, and climatic elements that necessitate comprehensive analysis to fully grasp its implications for affected populations. The study employs a Fuzzy-AHP methodology to conduct a multi-dimensional relative vulnerability (Meteorological, Agricultural and Socio-economic) assessment in Santhal Pargana, located in Jharkhand. Notably, rainfall data from 1900 to 2020 revealed a downward trend. The findings of study indicate that Sahibganj exhibits the lowest vulnerability, while the Godda faces the highest risk. To validate the model's accuracy, we calculated the Area Under Curve (AUC), which yielded a value of 84.3, demonstrating the robustness of our assessment approach.
Published Version
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